most citedDigital Twin for Autonomous Surface Vessels: Enabler for Safe Maritime Navigation

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2024★ 3 cited

Digital Twin for Autonomous Surface Vessels: Enabler for Safe Maritime Navigation

Daniel Menges, Adil Rasheed

Autonomous surface vessels (ASVs) are becoming increasingly significant in enhancing the safety and sustainability of maritime operations. To ensure the reliability of modern contr…

cs.LG2024★ 2 cited

Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data

Daniel Menges, Adil Rasheed

In the current data-intensive era, big data has become a significant asset for Artificial Intelligence (AI), serving as a foundation for developing data-driven models and providing…

eess.SY2024

Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels

Daniel Menges, Trym Tengesdal, Adil Rasheed

This article proposes an approach for collision avoidance, path following, and anti-grounding of autonomous surface vessels under consideration of environmental forces based on Non…

cs.RO2024

Digital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled through Predictive Modeling and Reinforcement Learning

Daniel Menges, Andreas Von Brandis, Adil Rasheed

Autonomous surface vessels (ASVs) play an increasingly important role in the safety and sustainability of open sea operations. Since most maritime accidents are related to human fa…

cs.RO2023

Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters

Aksel Vaaler, Svein Jostein Husa, Daniel Menges +2

Many autonomous systems face safety challenges, requiring robust closed-loop control to handle physical limitations and safety constraints. Real-world systems, like autonomous ship…